Genetic structure and environmental aptitude of sideoats grama [Bouteloua curtipendula (Michx.) Torr.] populations in Chihuahua, Mexico
DOI:
https://doi.org/10.22319/rmcp.v13i3.5730Keywords:
AFLP, Climatic niche, MaxEnt, STRUCTUREAbstract
Research has increasingly centered on selecting outstanding grass genotypes for grasslands restoration, although most focuses on agronomic characteristics. Little importance has been given genotype genetic structure and environmental adaptation. An analysis was done of the genetic structure and environmental suitability of sideoats grama (Bouteloua curtipendula) populations in Chihuahua, Mexico. Fifty-one populations were evaluated through AFLP markers and analysis of their genetic structure. In a novel approach, the MaxEnt algorithm, commonly used only at the species level, was used to design models to quantify environmental aptitude of the groups generated by the genetic analysis. The STRUCTURE analysis divided the B. curtipendula populations into two different genetic groups (AMOVA; P<0.0001). Most (89 %) of the Group 1 populations are in the state’s semi-arid region while most (90 %) of the Group 2 populations are in the arid region. The MaxEnt results showed the two genetic groups to have different environmental aptitude. The climatic niche of Group 1 is mainly located in the state’s center and south, while that of Group 2 is in the center, west and northeast. Restoration programs involving B. curtipendula would benefit most from using local ecoregion-specific genotypes in areas for which they have the highest environmental aptitude.
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Chaplot V, Dlamini P, Chivenge P. Potential of grassland rehabilitation through high density-short duration grazing to sequester atmospheric carbon. Geoderma 2016;271:10-17.
Barnosky AD, Matzke N, Tomiya S, Wogan GO, Swartz B, Quental TB, et al. Has the Earth’s sixth mass extinction already arrived? Nature 2011;471:51-57.
Morales NCR, Melgoza CA, Jurado GP, Martínez SM, Avendaño AC. Caracterización fenotípica y molecular de poblaciones de zacate punta blanca (Digitaria californica (Benth.) Henr.). Rev Mex Cienc Pecu 2012;3:171-184.
Sánchez-Arroyo JF, Wehenkel C, Carrete-Carreón FO, Murillo-Ortiz M, Herrera-Torres E, Quero-Carrillo R. Establishment atributes of Bouteloua curtipendula (Michx.) Torr. populations native to Mexico. Rev Fitotec Mex 2018;41:237-243.
Morales-Nieto CR, Álvarez-Holguín A, Villarreal-Guerrero F, Corrales-Lerma R, Pinedo-Álvarez A, Martínez-Salvador M. Phenotypic and genetic diversity of blue grama (Bouteloua gracilis) populations from Northern Mexico. Arid Land Res Manag 2020;34:83-98.
Mattioni C, Martin MA, Chiocchini F, Cherubini M, Gaudet M, Pollegioni, et al. Landscape genetics structure of European sweet chestnut (Castanea sativa Mill): indications for conservation priorities. Tree Genet Genomes 2017;13:1-14.
Tso KL, Allan GJ. Environmental variation shapes genetic variation in Bouteloua gracilis: Implications for restoration management of natural populations and cultivated varieties in the southwestern United States. Ecol Evol 2019;9:482-499.
Corrales LR, Morales NCR, Melgoza CA, Sierra TJS, Ortega GJÁ, Méndez ZG. Caracterización de variedades de pasto banderita [Bouteloua curtipendula (Michx.) Torr.] recomendadas para rehabilitación de pastizales. Rev Mex Cienc Pecu 2016;7:201-211.
Morales NCR, Avendaño AC, Melgoza CA, Vega GK, Quero CA, Martínez SM. Caracterización morfológica y molecular de poblaciones de pasto banderita (Bouteloua curtipendula) en Chihuahua, México. Rev Mex Cienc Pecu 2016;7:455-469.
Álvarez-Holguín A, Morales-Nieto CR, Melgoza-Castillo A, Méndez-Zamora G. Germinación de genotipos de pasto banderita (Bouteloua curtipendula) bajo diferentes presiones osmóticas. ERA 2017;4:161-168.
Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distributions. Ecol Model 2006;190:231-259.
Abdelaal M, Fois M, Fenu G, Bacchetta G. Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crép. in Egypt. Ecol Inform 2019;50:68-75.
Cruz-Cárdenas G, Villaseñor JL, López-Mata L, Martínez-Meyer E, Ortiz E. Selección de predictores ambientales para el modelado de la distribución de especies en MaxEnt. Rev Chapingo Ser Cie 2014;20:187-201.
Tran VD, Vu TT, Tran QB, Nguyen TH, Ta TN, Ha TM et al. Predicting suitable distribution for an endemic, rare and threatened species (grey-shanked douc langur, Pygathrix cinerea Nadler, 1997) using MaxEnt model. Appl Ecol Env Res 2018;16:1275-1291.
Martinson EJ, Eddy ZB, Commerford JL, Blevins E, Rolfsmeier SJ, McLauchlan KK. Biogeographic distributions of selected North American grassland plant species. Phys Geogr 2011;32:583-602.
Martínez SJÁ, Duran PN, Ruiz CJA, González EDR, Mena MS. Áreas con aptitud ambiental para [Bouteloua curtipendula (Michx.) Torr.] en México por efecto del cambio climático. Rev Mex Cienc Pecu 2020;11:49-62.
Hufford KM, Mazer SJ. Plant ecotypes: genetic differentiation in the age of ecological restoration. Trends Ecol Evol 2003;18:147-155.
Doyle JJ. A rapid total DNA preparation procedure for fresh plant tissue. Focus 1990;12:13-15.
Vos P, Hogers R, Bleeker M, Reijans M, Lee TVD, Hornes M, et al. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res 1995;23:4407-4414.
Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics 2000;155:945-959.
Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol Ecol Notes 2007;7:574-578.
Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 2005;14;2611-2620.
Earl DA, VonHoldt BM. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour 2012;4:359-361.
Excoffier L, Smouse PE, Quattro JM. Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 1992;131:479-491.
Peakall ROD, Smouse PE. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 2006;6:288-295.
Whitlock MC, Mccauley DE. Indirect measures of gene flow and migration: FST≠ 1/(4Nm+ 1). Heredity 1999;82:117-125.
Manni F, Guérard E, Heyer E. Geographic patterns of (genetic, morphologic, linguistic) variation: how barriers can be detected by using Monmonier's algorithm. Hum Biol 2004;2:173-190.
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 2005;25:1965-1978.
Mitchell ML, Stodart BJ, Virgona JM. Genetic diversity within a population of Microlaena stipoides, as revealed by AFLP markers. Aust J Bot 2015;62:580-586.
Wu WD, Liu WH, Sun M, Zhou JQ, Liu W, Zhang CL, et al. Genetic diversity and structure of Elymus tangutorum accessions from western China as unraveled by AFLP markers. Hereditas 2019;156:8.
Durka W, Nossol C, Welk E, Ruprecht E, Wagner V, Wesche K, et al. Extreme genetic depauperation and differentiation of both populations and species in Eurasian feather grasses (Stipa). Plant Syst Evol 2013;299:259-269.
Zhang C, Zhang J, Fan Y, Sun M, Wu W, Zhao W, et al. Genetic structure and eco-geographical differentiation of wild sheep Fescue (Festuca ovina L.) in Xinjiang, Northwest China. Molecules 2017;22:1316.
Zhang C, Sun M, Zhang X, Chen S, Nie G, Peng Y, et al. AFLP-based genetic diversity of wild orchardgrass germplasm collections from Central Asia and Western China, and the relation to environmental factors. PloS One 2018;13:e0195273.
Reisch C, Anke A, Rohl M. Molecular variation within and between ten populations of Primula farinosa (Primulaceae) along an altitudinal gradient in the northern Alps. Basic Appl Ecol 2005;6:35–45.
Kiambi DK, Newbury HJ, Maxted N, Ford-Lloyd BV. Molecular genetic variation in the African wild rice Oryza longistaminata A. Chev. et Roehr. and its association with environmental variables. Afr J Biotechnol 2008;7:1446-1460.
Zhao NX, Gao YB, Wang JL, Ren AZ. Genetic diversity and population differentiation of the dominant species Stipa krylovii in the Inner Mongolia Steppe. Biochem Genet 2006;44:513-526.
Todd J, Wu YQ, Wang Z, Samuels T. Genetic diversity in tetraploid switchgrass revealed by AFLP marker polymorphisms. Genet Mol Res 2011;10:2976-2986.
Wanjala BW, Obonyo M, Wachira FN, Muchugi A, Mulaa M, Harvey J, et al. Genetic diversity in Napier grass (Pennisetum purpureum) cultivars: implications for breeding and conservation. AoB Plants 2013;5:plt022.
Merow C, Smith MJ, Silander Jr JA. A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 2013;36:1058-1069.
Morales NCR, Quero CA, Melgoza CA, Martínez SM, Jurado GP. Diversidad forrajera del pasto banderita [Bouteloua curtipendula (Michx.) Torr.], en poblaciones de zonas áridas y semiáridas de México. Téc Pecu Méx 2009;47:231-244.
Mijnsbrugge VK, Bischoff A, Smith B. A question of origin: where and how to collect seed for ecological restoration. Basic Appl Ecol 2010;11:300-311.
Smith SW, Ross K, Karlsson S, Bond B, Upson R, Davey A. Going native, going local: revegetating eroded soils on the Falkland Islands using native seeds and farmland waste. Restoration Ecology 2018;26:134-144.
Morales-Nieto CR, Corrales-Lerma R, Álvarez-Holguín A, Villarreal-Guerrero F, Santellano-Estrada E. Caracterización de poblaciones de pasto banderita (Bouteloua curtipendula) de México para seleccionar genotipos con potencial para producción de semilla. Rev Fitotec Mex 2017;40:309-316.
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